Objective: To construct a prognostic model for epithelial to mesenchymal transition (EMT) in clear cell renal cell carcinoma by bioinformatics, and use the model to predict the survival and prognosis of patients with renal clear cell carcinoma. Methods: The gene chip and clinical data of renal clear cell carcinoma from the TCGA database were download, and 72 normal renal tissue samples and 539 renal clear cell carcinoma tissue samples were obtained. Wilcoxon rank-sum test was used for differential analysis to screen renal clear cell carcinoma. Differentially expressed EMT genes were analyzed by GO and KEGG functional enrichment analysis. Single-factor COX regression and LASSO regression were used to screen the differentially expressed EMT genes related to the prognosis of clear cell renal cell carcinoma, and the risk-predicting model was constructed and verified. Results: A total of 93 differential EMT genes were screened in clear cell renal cell carcinoma, 41 differential genes were related to the overall survival rate of patients, and 6 key EMT differential genes were screened for construction a prognostic model of clear cell renal cell carcinoma. The area under the ROC curve of the training set was 0.717(AUC=0.717), the area under the ROC curve of the validation set was 0.771(AUC=0.771). Multivariate COX regression analysis was conducted with risk model and clinical variables (including age, gender, clinical stage). The results showed that the prognostic model could be used as an independent prognostic factor for clear cell renal cell carcinoma (P<0.001). Conclusion: The constructed and validated EMT prognostic model could be used to predict the prognosis of patients with renal clear cell carcinoma.
ZHONG Wenjie
,
CHEN Changnan
,
LU Honghong
. Establishment and validation of prognostic model for epithelial to mesenchymal transition in clear cell renal cell carcinoma[J]. Journal of Baotou Medical College, 2023
, 39(7)
: 39
-45
.
DOI: 10.16833/j.cnki.jbmc.2023.07.008
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